JP2022083425A - Computer-implemented method, computer program and computer system (multi-device connection management) - Google Patents

Abstract

To solve the problem in which presently available tools or solutions do not address these needs or provide adequate solutions for these needs.SOLUTION: A connection request is received for an account associated with a set of devices, and comprises a request to establish communication between a sending device and a device associated with the account. By analyzing device usage data for a first device in the set of devices, an availability score of the first device is determined. The first device is presented for connection based on the availability score of the first device. In response to the presentation, the sending device and the first device are connected.SELECTED DRAWING: Figure 3

Description

The invention generally relates to methods, systems, and computer program products for managing device connections. More specifically, the present invention relates to methods, systems, and computer program products for multi-device connection management.

The user typically has access to two or more communicable devices. For example, devices in the form of smartphones, tablet computers, laptop computers, desktop computers, wearable computing devices, smart speakers, or any other suitable device are all run by the device user on another device or data processing system. You can run application software that allows you to communicate with your software.

Because a user typically has access to more than one communicable device, the user typically uses a single user identification information that is unique to the user to share the device together on one account. Often linked. For example, a user may configure his or her smartphone, tablet computer, laptop computer, and office desktop computer for voice communication and texting with a telephone application that uses all the same registered phone numbers. .. As a result, this user answers the phone on any device that is readily available to him, for example, on his office desktop computer when he is in the office, and on his smartphone while driving from the office to his home. be able to. As another example, users configure their smartphones, tablet computers, laptop computers, and smart speakers in their living room and bedroom to use a shared music streaming account, and then use that account. You can play music on any device that is currently convenient for you.

A communication request is a request to establish communication between the sending device and the device associated with the account. Exemplary communication requests include displaying an incoming voice or video call and responding to a user's request to play music stored in a remote computer system.

Currently available tools or solutions do not address these needs or provide appropriate solutions to these needs.

Exemplary embodiments provide methods, systems, and computer program products. One embodiment includes a method of receiving a connection request for an account, where the account is associated with a set of devices, and the connection request establishes communication between the sending device and the device associated with the account. Including the request to do. One embodiment determines the utilization score of the first device by analyzing the device usage data of the first device in the set of devices. One embodiment presents a first device for a connection based on the utilization score of the first device. In one embodiment, the transmitting device and the first device are connected in response to the presentation.

One embodiment includes a computer-enabled program product. Computer-enabled program products include one or more computer-readable storage devices and program instructions stored in at least one of the one or more storage devices.

One embodiment includes a computer system. A computer system is one through at least one of one or more processors, one or more computer-readable memory, one or more computer-readable storage devices, and one or more memory. Or includes program instructions stored in at least one of one or more storage devices for execution by at least one of the plurality of processors.

Certain novel properties that are considered to be characteristic of the present invention are described in the appended claims. However, the invention itself, as well as its preferred mode of use, further purpose, and advantages, will be best understood with reference to the following detailed description of exemplary embodiments, along with the accompanying drawings.

A block diagram of a network of data processing systems in which exemplary embodiments can be implemented is shown.

A block diagram of a data processing system to which an exemplary embodiment can be implemented is shown.

A block diagram of an exemplary configuration of multi-device connection management according to an exemplary embodiment is shown.

A block diagram of an exemplary configuration of multi-device connection management according to an exemplary embodiment is shown.

An example of multi-device connection management according to an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

The continuation of the example of multi-device connection management by an exemplary embodiment is shown.

Shown is a flow chart of an exemplary process for multi-device connection management, according to an exemplary embodiment.

A cloud computing environment according to an embodiment of the present invention is shown.

An abstraction model layer according to an embodiment of the present invention is shown.

An exemplary embodiment recognizes that if multiple devices share an account and receive a communication request, one option is to meet the request on all available devices. For example, users can use their smartphones, tablet computers, laptop computers, and other unique user identification information for voice communication and texting, all using the same registered phone number, or other unique user identification information. Can configure an office desktop computer. Next, when an incoming call occurs, each device currently available for network communication indicates the incoming call. However, if the user's smartphone, tablet computer, and laptop computer are all placed next to each other, all three will indicate an incoming call, which is unnecessary and can be annoying. As another example, users may configure their smartphones, tablet computers, laptop computers, and smart speakers in their living rooms and bedrooms to use their shared music streaming accounts, but smartphones and tablet computers. If is currently in the living room with a smart speaker in the living room, all three may play the requested music to produce a dissonant sound.

An exemplary embodiment is that if multiple devices share an account and receive a communication request, another option is to use a static list of predetermined priority rules to meet the request. It has recognized. For example, in the case of an incoming call, the user's smartphone will always show the incoming call and may roll over to the next device in the priority list only if the smartphone does not have access to the communication network. However, the highest priority device may not be the most suitable device for the current situation. For example, a user's smartphone has the highest priority, but is an area where mobile phone data reception is weak and may only communicate at 3G speeds, while other available devices, such as tablets (Wi). -Fi®) or laptop computers (using wired network connections) may be capable of faster speeds and, therefore, improved call quality. Also, configuring multiple priority lists that are applicable to multiple situations can quickly become tedious and still unsuitable for unforeseen circumstances, changes in device and network capabilities, and the development of user preferences. Therefore, an exemplary embodiment requires that upon receiving a communication request for an account, it automatically selects the most suitable device to use the account and updates the preference judgment based on changes in conditions and preferences. Recognizing that sex is not satisfied.

Illustrative embodiments indicate that currently available tools or solutions do not address these needs or provide appropriate solutions to these needs. It has recognized. Exemplary embodiments used to illustrate the invention generally address and solve the above problems and other problems with multi-device connectivity management.

One embodiment may be implemented as a software application. An application that implements an embodiment may be configured as a modification of an existing data communication system, as a separate application that works with an existing data communication system, as a stand-alone application, or as a combination of several thereof.

Specifically, some exemplary embodiments of a first device receive a connection request for an account and analyze the device usage data of the first device in the set of devices associated with the account. Provided is a method of determining a usage score, presenting a first device for a connection based on the usage score of the first device, and connecting the transmitting device and the first device.

In one embodiment, one or more of the devices are associated with a user account. In one embodiment, it receives user input that associates the device with an account. In another embodiment, the device is automatically associated with the account. For example, when a user configures an application to use an account, the application may automatically associate the device on which the application is running with the account. In another embodiment, device detection techniques are used to associate a device with an account, for example by detecting and associating any new device that joins a known Wi-Fi or other communication network. (Wi-Fi is a registered trademark of Wi-Fi Alliance in the United States and other countries.)

In one embodiment, the ruleset used to determine the usage score of the device associated with the account is configured and managed. The ruleset is one or more components used to calculate the utilization score, the calculation used to combine those components to get the utilization score, and how the score component is calculated from the input data. Specify. In one embodiment, the user can manually configure some or all of the ruleset. Another embodiment includes a default rule set that is further tuned based on user input, either during device configuration or learned from the user's device selection.

In one embodiment, the device utilization score component associated with the account is the device connection element. A device capable of communicating data at high speed typically provides a higher quality user experience than another device capable of communicating data at the same output but slower. For example, if the device communicates data at the typical speed of a wired network connection compared to the typical speed of a 3G mobile phone data connection, the image quality of the video conference will be higher and the delay time will be shorter. Become. Therefore, a device capable of high-speed connection has a higher connection element than a device capable of relatively low-speed connection.

In one embodiment, the device utilization score component associated with an account is a device capability element associated with the nature of the connection request. For example, smart speaker devices typically have higher quality recording / playback capabilities than laptop computers. Thus, if the connection request involves streaming music, one embodiment may score the smart speaker device higher than the laptop computer. As another example, if the connection request is for a video call, one embodiment scores the device in proportion to the size or resolution of their display screens to provide the highest possible video quality. Can be attached.

In one embodiment, the device usage score component associated with an account is the device usage element of the device. The device usage element includes one or more of the time since the device was last used, the time the device was last used, the average usage time of the device, and other usage-related device data. The shorter the time since the device was last used, the more likely it is that the device is still available for use. For example, if the user is currently using the device, or last used the device two minutes ago, it is likely that the device is still close to the user. On the other hand, if the user last used the device an hour ago, the user may have left the device in a different location. Devices that have been used longer, both recently and on average over a period of time, are likely to be preferred over devices that have not been used that long. Therefore, if the first device has been used longer than the second device, the device usage element of the first device should be higher than the device usage element of the second device.

In one embodiment, the device utilization score component associated with an account is the distance factor between the device and the user of the account. For example, a user's desktop computer that is permanently installed in the user's office is not available when the user is not in the office. One embodiment uses the already available capabilities of the device to determine the location of the device. For example, a device with positioning capability, such as a smartphone, can report its position with accuracy within a few meters. As another example, a device with Wi-Fi capability, such as a tablet or laptop computer, may access a network of known locations, such as a user's home or office network. As a third example, a device with wired network capability, such as a desktop computer, may access the network through an access point of known location, such as the XYZ room of a user's office building.

One embodiment infers the user's location from the location of the device associated with the account. For example, a wearable device currently worn (determined using one or more device sensors) can be assumed to be worn by an account user. As another example, users are less likely to go far without their smartphone, so it is assumed that the user's position is the same as the smartphone's position or within the threshold of the smartphone's position. obtain.

Another embodiment uses sensor data from the device associated with the account or from a different device to directly determine the user's location. For example, access control data for a user's office building may indicate that the user entered the building earlier today and has not yet left the building. Therefore, one embodiment concludes that this user is in the office rather than in a different location. As another example, if the user's home has a thermostat capable of detecting its presence and communicating over a communication network, one embodiment uses this data to determine if the user is at home. obtain. Some devices provide more accurate user location data than others. For example, access control data can only be used to determine if a user is inside a building, and thermostat data can be used to determine if a user is at home (or if there are multiple such thermostats). While it can be used to determine which floor) a video surveillance system or radio frequency identification (RFID) system is (with the user's consent) which room the user is in, or a specific RFID sensor interrogator. Can be used to determine the distance from. However, accurate user location data is not always required. For example, if the user is not in the office, the desktop computer in the user's office is unavailable regardless of where the user is actually. Therefore, if the distance between the device and the user of the account exceeds a predetermined threshold, one embodiment sets the distance element to the current maximum value indicating that the device is unavailable.

In one embodiment, the device usage score component associated with the account is a user preference factor. For example, a user may prefer to use a smartphone for a particular account or a particular type of communication request, even though another device is scored higher using different factors. In one embodiment, the user provides preference information via a user interface. In another embodiment, preference information is learned from the user's device selection and the user preference element is adjusted accordingly. For example, if the user always chooses a smartphone when faced with the choice of using a smartphone or a tablet, in this embodiment the user preference factor is to score the smartphone higher than the tablet. To update.

In one embodiment, it receives a connection request for an account. A communication request is a request to establish communication between the sending device and the device associated with the account. Some non-limiting examples of communication requests are displaying an incoming voice or video call and responding to a user's request to play music stored in a remote computer system.

In one embodiment, the device data of the device associated with the account is analyzed to calculate one or more utilization score components specified in the ruleset. In particular, in one embodiment, the connection element of the device is calculated. In another embodiment, the device capability factor associated with the nature of the connection request is calculated. In another embodiment, the device usage factor of the device is calculated. In another embodiment, the user's location is determined by determining the location of the device and inferring the user's location from the location of the device associated with the account, or by using the sensor data of the device associated with the account or a different device. By directly determining, the distance factor between the device and the user of the account is calculated.

From the usage score component specified in the ruleset, in one embodiment, the usage score of the device associated with the account is determined. In one embodiment, the usage score is calculated according to the communication request. In another embodiment, the usage score of one or more devices associated with the account is periodically calculated so that the usage score is prepared when the communication request is received. In another embodiment, the data used to calculate the usage score of the device is periodically collected, but the calculation of the usage score is waited until the communication request is received.

In one embodiment, one or more devices are selected based on the device utilization score, the selected device is presented to the user of the account for connection, and when the user accepts the connection, the sender device is selected. Satisfy communication requirements by connecting to the device. In one embodiment, devices are ranked based on their utilization score and the device with the highest utilization score is selected.

In another embodiment, the devices are ranked based on their utilization score, it is determined that the plurality of devices have the highest utilization score and the utilization score within the threshold difference of each other, and 2 out of the plurality of devices. Select one or more, present the selected device to the user of the account for connection, and when the user accepts the connection on one of those devices, connect the sending device and the selected device. And meet communication requirements. Based on the user selection and device utilization score components, this embodiment adjusts the user preference factor to calculate the utilization score for one or more devices for future communication demands. Use adjusted user preference factors. For example, if a user's smartphone and tablet have the two highest utilization scores and their scores are within the threshold difference of each other, one embodiment presents both devices for connection and the user. When a smartphone is used to accept a connection, this embodiment updates the user preference factor to score the smartphone higher than the tablet in the future.

The mode of multi-device connection management described herein is not available in the methods currently available in the art of device management in data communication. One embodiment of the method described herein, when implemented to run on a device or data processing system, receives a connection request for an account, a first device in a set of devices associated with an account. Determining the utilization score of the first device by analyzing the device usage data of the first device, presenting the first device for a connection based on the utilization score of the first device, the sending device and the first. In connecting to a device, it involves a significant evolution of the functionality of that device or data processing system.

Exemplary embodiments are certain types of accounts, communication requests, device capabilities, sensor data, device usage data, utilization score components, user preferences, thresholds, responses, rankings, adjustments, sensors, measurements, devices, data. Only examples are given with respect to processing systems, environments, components, and applications. Any particular appearance of these and other similar artifacts is not intended as a limitation of the invention. Any suitable appearance of these and other similar artifacts can be selected within the scope of exemplary embodiments.

Further, exemplary embodiments may be implemented with respect to access to the data source via any type of data, data source, or data network. Within the scope of the invention, any type of data storage device may provide data to one embodiment of the invention, either locally in a data processing system or over a data network. When an embodiment is described using a mobile device, it is suitable for use with the mobile device, either locally on the mobile device or over a data network, within the scope of the exemplary embodiment. Any type of data storage device may provide data for such embodiments.

Exemplary embodiments are described using, by way of example only, specific codes, designs, architectures, protocols, layouts, diagrams, and tools, and these are not limited to exemplary embodiments. Further, exemplary embodiments are illustrated in some examples using specific software, tools, and data processing environments only as an example for clarity of description. Exemplary embodiments may be used in conjunction with other equivalent or similar structures, systems, applications, or architectures. For example, other equivalent mobile devices, structures, systems, applications, or architectures thereof may be used within the scope of the invention in conjunction with such embodiments of the invention. Exemplary embodiments may be implemented in hardware, software, or a combination thereof.

The examples in the present disclosure are used solely for clarity of description and are not limited to exemplary embodiments. Additional data, actions, actions, tasks, activities, and operations are conceivable from the present disclosure, which are contemplated within the scope of exemplary embodiments.

Any of the advantages listed herein are examples only and are not intended to limit exemplary embodiments. Additional or different benefits may be realized by certain exemplary embodiments. Moreover, certain exemplary embodiments may have some or all of the advantages listed above, or may not have them at all.

Although this disclosure includes a detailed description of cloud computing, it should be understood that the implementation of the teachings listed herein is not limited to cloud computing environments. Rather, embodiments of the invention can be implemented in conjunction with any other type of computing environment currently known or developed later.

Cloud computing is a configurable computing resource (eg, network, network bandwidth, server, processing, memory, storage, application) that can be quickly provisioned and released with minimal administrative effort or interaction with a service provider. , Virtual machines, and services) is a service delivery model that enables convenient on-demand network access to shared pools. This cloud model may include at least 5 characteristics, at least 3 service models and at least 4 deployment models.

The characteristics are as follows.

On-demand self-service: Cloud consumers can unilaterally provision computing power such as server time and network storage as needed, without requiring human interaction with the service provider.

Broad network access: Capabilities are available through the network and are accessed through standard mechanisms (eg, mobile phones, laptops, and PDAs) that facilitate use by heterogeneous thin or thick client platforms.

Resource pool: The provider's computing resources are pooled, servicing multiple consumers using a multi-tenant model, and different physical and virtual resources are dynamically allocated and reassigned on demand. Consumers generally do not have control or knowledge of the exact location of the resources provided, but location in that they can be located at a higher level of abstraction (eg, country, state, or data center). There is a meaning of independence.

Rapid Flexibility: In some cases, capacity can be provisioned quickly and flexibly for quick scale-out and released quickly for quick scale-in. To consumers, the capacity available for provisioning often looks unlimited and can be purchased at any time and in any quantity.

Measured Services: Cloud systems utilize resource usage by leveraging measurement capabilities at some level of abstraction (eg, storage, processing, bandwidth, and active user accounts) appropriate for the type of service. Automatically control and optimize. Resource usage can be monitored, controlled and reported, providing transparency to both providers and consumers of the services used.

The service model is as follows.

Software as a Service (Software as a Service): The capabilities provided to consumers are for using the provider's applications running on the cloud infrastructure. The application is accessible from a variety of client devices through thin client interfaces such as web browsers (eg, web-based email). Consumers do not manage or control the underlying cloud infrastructure, including networks, servers, operating systems, storage, or even individual application capabilities, with the exception of limited user-specific application configuration settings.

Platform as a Service (PaaS): The capabilities offered to consumers are the ability to deploy consumer-formed or acquired applications on cloud infrastructure, formed using programming languages and tools supported by providers. be. Consumers do not manage or control the underlying cloud infrastructure, including networks, servers, operating systems, or storage, but have control over deployed applications and, in some cases, applications that host environment configurations.

Infrastructure as a Service (IaaS): The capabilities provided to consumers are processing, storage, networks, and other fundamentals that allow consumers to deploy and run any software that may include operating systems and applications. It is to provision various computing resources. Consumers do not manage or control the underlying cloud infrastructure, but have limited control over the operating system, storage, deployed applications, and in some cases selected network components (eg, host firewalls). Have.

The deployment model is as follows.

Private cloud: The cloud infrastructure works only for the organization. It can be controlled by an organization or a third party and can exist on-premises or off-premises.

Community cloud: The cloud infrastructure is shared by multiple organizations and supports specific communities with shared interests (eg, roles, security requirements, policies, and compliance considerations). It can be controlled by an organization or a third party and can exist on-premises or off-premises.

Public Cloud: The cloud infrastructure will be available to the general public or large industrial groups and will be owned by the organization that sells the cloud service.

Hybrid cloud: Cloud infrastructure remains a unique entity, but is combined together by standardized or proprietary technologies that enable data and application portability (eg, cloud bursting for load balancing between clouds) 2. It is a complex of the above clouds (private, community, or public).

Cloud computing environments are services focused on stateless, low coupling, modularity, and semantic interoperability. At the core of cloud computing is an infrastructure that includes a network of interconnected nodes.

With reference to the figures, in particular with reference to FIGS. 1 and 2, these figures are exemplary diagrams of a data processing environment in which exemplary embodiments can be implemented. FIGS. 1 and 2 are examples only and are not intended to assert or imply any limitation with respect to the environment in which different embodiments may be implemented. A particular implementation can make many modifications to the environment shown, based on the description below.

FIG. 1 shows a block diagram of a network of data processing systems in which exemplary embodiments can be implemented. The data processing environment 100 is a network of computers to which exemplary embodiments can be implemented. The data processing environment 100 includes a network 102. The network 102 is a medium used to provide a communication link between various devices and computers connected together in the data processing environment 100. The network 102 may include connections such as wired or wireless communication links, or fiber optic cables.

The client or server is only an exemplary role of a particular data processing system connected to network 102 and is not intended to exclude other configurations or roles of these data processing systems. The server 104 and the server 106 are connected to the storage unit 108 and ten to the network 102. The software application may run on any computer in the data processing environment 100. Clients 110, 112 and 114 are also connected to network 102. A data processing system such as server 104 or 106 or client 110, 112 or 114 may include data and may have software applications or software tools running therein.

FIG. 1 shows specific components that can be used in an exemplary implementation of an embodiment, merely as an example and without suggesting any limitations to such an architecture. For example, servers 104 and 106, and clients 110, 112, 114 are shown as servers and clients by way of example only and do not imply any limitation to the client-server architecture. As another example, one embodiment can be distributed across several data processing systems and data networks, as shown, while another embodiment, within the scope of an exemplary embodiment, is a single piece of data. It can be implemented on the processing system. Data processing systems 104, 106, 110, 112 and 114 also represent exemplary nodes in clusters, plots, and other configurations suitable for implementing one embodiment.

Device 132 is an example of a device described herein. For example, the device 132 may take the form of a smartphone, tablet computer, laptop computer, client 110 in static or portable form, wearable computing device, or any other suitable device. Any software application described in FIG. 1 as running on another data processing system may be configured to run on device 132 in a similar fashion. Any data or information stored or generated in another data processing system of FIG. 1 may be configured to be stored or generated in device 132 in a similar fashion.

Application 105 implements one embodiment described herein. Application 105 runs on any of the servers 104 and 106, clients 110, 112 and 114, and any form of device 132. Application 105 can also be configured to collect data from one or more instances of device 132 and select one or more instances of device 132 to present to the user in response to a communication request. ..

The servers 104 and 106, the storage units 108, the clients 110, 112 and 114, and the device 132 may be connected to the network 102 using a wired connection, a wireless communication protocol, or other suitable data connection. Clients 110, 112 and 114 can be, for example, personal computers or network computers.

In the example shown, the server 104 may provide data such as boot files, operating system images, and applications to clients 110, 112, and 114. Clients 110, 112 and 114 may be clients of server 104 in this example. Clients 110, 112, 114, or some combination thereof, may include their own data, boot files, operating system images, and applications. The data processing environment 100 may include additional servers, clients, and other devices not shown.

In the example shown, the data processing environment 100 can be the Internet. The network 102 may represent a collection of networks and gateways that communicate with each other using transmission control protocol / internet protocol (TCP / IP) and other protocols. At the core of the Internet is the backbone of data communication links between major nodes or host computers, including thousands of commercial, government, educational, and other computer systems that route data and messages. Of course, the data processing environment 100 can also be implemented as a number of different types of networks, such as an intranet, a local area network (LAN), or a wide area network (WAN). FIG. 1 is intended as an example and is not intended as an architectural limitation to different exemplary embodiments.

Among other uses, the data processing environment 100 can be used to implement a client-server environment in which exemplary embodiments can be implemented. The client-server environment allows software applications and data to be distributed across the network so that applications can function by using the interactivity between the client data processing system and the server data processing system. The data processing environment 100 may also use a service-oriented architecture in which interoperable software components distributed across the network can be packaged together as a coherent business application. The data processing environment 100 may take the form of a cloud and can be rapidly provisioned and released with minimal administrative effort or interaction with the provider of services, configurable computing resources (eg, networks, network bandwidth, etc.). You may use a service-providing cloud computing model that allows convenient on-demand network access to shared pools of servers, processes, memory, storage, applications, virtual machines, and services.

Referring to FIG. 2, this figure shows a block diagram of a data processing system in which exemplary embodiments can be implemented. The data processing system 200 is a computer such as the servers 104 and 106 of FIG. 1 or clients 110, 112 and 114, or a computer-enabled program code or instruction that implements the process is located for exemplary embodiments. It is an example of another type of device to obtain.

The data processing system 200 also represents a data processing system such as the data processing system 132 of FIG. 1 or a configuration within it, in which computer-enabled program code or instructions that implement the process of the exemplary embodiment may be located. obtain. The data processing system 200 is described as a computer only as an example, but is not limited thereto. Implementations in the form of other devices, such as device 132 of FIG. 1, add, for example, a touch interface without departing from the general description of the operation and function of the data processing system 200 described herein. The data processing system 200 may be modified by the data processing system 200, and the specific indicated component may be removed from the data processing system 200.

In the example shown, the data processing system 200 uses a hub architecture that includes a northbridge and memory controller hub (NB / MCH) 202 as well as a southbridge and input / output (I / O) hub (SB / ICH) 204. The processing unit 206, the main memory 208, and the graphics processor 210 are connected to the north bridge and the memory controller hub (NB / MCH) 202. The processing unit 206 may include one or more processors and may be implemented using one or more dissimilar processor systems. The processing unit 206 can be a multi-core processor. The graphics processor 210 may be coupled to the NB / MCH 202 through an accelerated graphics port (AGP) in a particular implementation.

In the example shown, the local area network (LAN) adapter 212 is connected to a south bridge and an I / O controller hub (SB / ICH) 204. Audio adapter 216, keyboard and mouse adapter 220, modem 222, read-only memory (ROM) 224, universal serial bus (USB) and other ports 232, and PCI / PCIe device 234 southbridge and I / through bus 238. It is connected to the O controller hub 204. The hard disk drive (HDD) or solid state drive (SSD) 226 and CD-ROM 230 are connected to the south bridge and I / O controller hub 204 via bus 240. The PCI / PCIe device 234 may include, for example, an Ethernet® adapter, an add-in card, and a PC card for a notebook computer. PCI uses a card bus controller, while PCIe does not. The ROM 224 can be, for example, a flash binary input / output system (BIOS). The hard disk drive 226 and CD-ROM 230 may use, for example, integrated device electronics (IDE), Serial Advanced Technology Attachment (SATA) interfaces, or variants thereof such as external SATA (eSATA) and micro SATA (mSATA). The super I / O (SIO) device 236 may be connected to the south bridge and the I / O controller hub (SB / ICH) 204 via bus 238.

Memory such as main memory 208, ROM 224, or flash memory (not shown) is some example of computer-enabled storage devices. Hard disk drives or solid state drives 226, CD-ROM230s, and other similarly usable devices are some examples of computer-enabled storage devices, including computer-enabled storage media.

The operating system runs on processing unit 206. The operating system coordinates and provides control of the various components within the data processing system 200 of FIG. The operating system can be a commercially available operating system for any computing platform, including but not limited to server systems, personal computers, and mobile devices. An object-oriented or other type of program system may work with the operating system and may provide a call to the operating system from a program or application running on the data processing system 200.

Instructions to an application or program, such as an operating system, an object-oriented programming system, and application 105 of FIG. 1, are located on a storage device and executed by processing unit 206, for example in the form of code 226A on hard disk drive 226. Therefore, it may be loaded into at least one of one or more memories, eg, main memory 208. The process of the exemplary embodiment may be performed by the processing unit 206 using, for example, memory such as main memory 208, read-only memory 224, or computer-mounted instructions that may be located on one or more peripheral devices.

Further, in one case, the code 226A may be downloaded from the remote system 201B via the network 201A, while a similar code 201C is stored in the storage device 201D. In another case, the code 226A may be downloaded to the remote system 201B via the network 201A, while the downloaded code 201C is stored in the storage device 201D.

The hardware of FIGS. 1 and 2 may vary depending on the implementation. Other internal hardware or peripheral devices such as flash memory, equivalent non-volatile memory, or optical disk drives may be used in addition to or in place of the hardware shown in FIGS. Also, the process of the exemplary embodiment may be applied to a multiprocessor data processing system.

In some exemplary examples, the data processing system 200 is generally configured to have flash memory to provide non-volatile memory for storing operating system files or user-generated data or combinations thereof. It can be a portable information terminal (PDA). The bus system may include one or more buses, such as a system bus, an I / O bus, and a PCI bus. Of course, the bus system may be implemented using any type of communication fabric or architecture that provides the transfer of data between different components or devices coupled to the fabric or architecture.

The communication unit may include one or more devices such as a modem or network adapter used to send and receive data. The memory can be, for example, the main memory 208 or the cache found in, for example, the northbridge and memory controller hub 202. The processing unit may include one or more processors or CPUs.

The examples shown in FIGS. 1-2 and the above examples are not meant to imply architectural limitations. For example, the data processing system 200 can also be a tablet computer, laptop computer, or telephone device, in addition to those in the form of mobile or wearable devices.

When a computer or data processing system is described as a virtual machine, virtual device, or virtual component, that virtual machine, virtual device, or virtual component is virtualized in part or all of the components shown in data processing system 200. It operates in the style of the data processing system 200 using the artificial objects. For example, in a virtual machine, virtual device, or virtual component, the processing unit 206 appears as all or some virtualization instances of the hardware processing unit 206 available in the host data processing system, and the main memory 208 is the host data. Appears as virtualized instances of all or part of main memory 208 that may be available in the processing system, and disk 226 appears as virtualized instances of all or part of disk 226 that may be available in the host data processing system. .. The host data processing system in such a case is represented by the data processing system 200.

Referring to FIG. 3, this figure shows a block diagram of an exemplary configuration for multi-device connection management, according to an exemplary embodiment. Application 300 is an example of application 105 in FIG. 1 and is executed by any of the servers 104 and 106, clients 110, 112 and 114, and device 132 in FIG.

Configuration module 310 associates one or more devices with a user account. Similarly, the configuration module 310 constitutes a ruleset used to determine the utilization score of the device associated with the account. The ruleset is one or more components used to calculate the utilization score, the calculation used to combine those components to get the utilization score, and how the score component is calculated from the input data. Specify.

Application 300 receives user input such as user device selection and user-provided account configuration. Application 300 also receives device data and sensor data for calculating device utilization scores. Application 300 also receives a communication request for an account.

The device status module 320 collects and analyzes device data used to calculate one or more utilization score components specified in the ruleset. An example implementation of module 320 collects data used to calculate one or more of a connection element, a device capability element, a device usage element, and a device location. The user status module 330 is used to infer a user's location from the location of the device associated with the account, or to determine the user's location directly using sensor data from the device associated with the account or a different device. Collect and analyze data.

The usage score module 340 calculates the usage score component specified in the ruleset, applies the usage score calculation method specified in the ruleset, and determines the usage score of the device associated with the account. In one implementation example of module 340, the usage score is calculated according to the communication request. Another implementation of Module 340 periodically calculates the usage score for one or more devices associated with an account so that the usage score is prepared when a communication request is received. Another implementation of Module 340 periodically collects data used to calculate the utilization score of the device, but waits for the utilization score to be calculated until a communication request is received.

The device connection module 350 selects one or more devices based on the device utilization score, presents the selected device to the user of the account for connection, and when the user accepts the connection, with the sending device. Connect with the selected device to meet communication requirements. In one implementation of Module 350, devices are ranked based on their utilization score and the device with the highest utilization score is selected. Another implementation of Module 350 ranks devices based on their utilization score, determines that multiple devices have the highest utilization score and utilization scores within each other's threshold differences, and of multiple devices. When two or more of them are selected, the selected device is presented to the user of the account for connection, and the user accepts the connection on one of those devices, the sender device and the selected device Connect to meet communication requirements.

The rule adjustment module 360 adjusts the user preference factor based on the user selection and the device utilization score component. The utilization score module 340 will use an adjusted user preference factor in calculating one or more device utilization scores for future communication requests.

Referring to FIG. 4, this figure shows a block diagram of an exemplary configuration for multi-device connection management, according to an exemplary embodiment. In particular, FIG. 4 shows the configuration module 310 of FIG. 3 in more detail.

The device registration module 410 associates one or more devices with a user account. One implementation of module 410 receives user input that associates a device with an account. Another implementation of module 410 automatically associates the device with an account. For example, when a user configures an application to use an account, the application automatically associates the device on which the application is running with the account. Another implementation of Module 410 uses device detection techniques to associate a device with an account, for example by detecting and associating any new device that joins a known Wi-Fi or other communication network.

Rule module 420 configures and manages the ruleset used to determine the utilization score of the device associated with the account. The ruleset is one or more components used to calculate the utilization score, the calculation used to combine those components to get the utilization score, and how the score component is calculated from the input data. Specify. In one implementation of Module 420, the user can manually configure some or all of the ruleset. Another example implementation of module 420 includes a default rule set that is further tuned based on user input, either during device configuration or learned from the user's device selection.

In the implementation example of Module 420, the device utilization score components associated with the account are the device connection element, the device capability element regarding the nature of the connection request, the device device usage element, the user preference element, and the device and account user. Includes the distance element between. The distance element is a device's location by inferring the user's location from the location of the device associated with the account, or by directly determining the user's location using sensor data from the device associated with the account or a different device. Judgment is made using the capabilities already available.

Referring to FIG. 5, this figure shows an example of multi-device connection management according to an exemplary embodiment. This example can be performed using application 300 of FIG. The device registration module 410 is the same as the device registration module 410 in FIG.

Device 502 is a smartphone that includes a stylus input capability. Device 504 is a different smartphone that does not include stylus input capability. Device 506 is a tablet device. Device 508 is a laptop computer and device 510 is a desktop computer. The device registration module 410 associates the devices 502, 504, 506, 508 and 510 with the user account 520.

Referring to FIG. 6, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The device status module 320 is the same as the device status module 320 in FIG. Devices 502, 504, 506, 508 and 510 are the same as devices 502, 504, 506, 508 and 510 in FIG.

Since the devices 502, 504, 506, 508 and 510 are all associated with the same account, the device status module 320 monitors each of them and collects the implications in the device usage data 610. As shown, devices 502, 506 and 508 are at location 602 (eg, the user's home), while devices 504 and 510 are at location 604 (eg, the user's office).

Referring to FIG. 7, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The user status module 330 is the same as the user status module 330 in FIG. Devices 502, 504, 506, 508 and 510 are the same as devices 502, 504, 506, 508 and 510 in FIG. Positions 602 and 604 are the same as positions 602 and 604 in FIG.

At position 602, user 710 is 0 meters away from device 502, 1 meter away from device 506, and 10 meters away from device 508. Devices 504 and 510 are in position 604. The user status module 330 is used to infer a user's location from the location of the device associated with the account, or to determine the user's location directly using sensor data from the device associated with the account or a different device. Collect and analyze data. The results are tabulated in user status data 720. Since the user 710 is at a position 602 farther than the threshold distance from the device at position 604, the module 330 has not attempted to determine the personality distance between the user 710 and the device at position 604. Please note.

Referring to FIG. 8, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The utilization score module 340 is the same as the utilization score module 340 in FIG. Devices 502, 504, 506, 508 and 510 are the same as devices 502, 504, 506, 508 and 510 in FIG. The positions 602 and 604 and the device usage data 610 are the same as the positions 602 and 604 in FIG. 6 and the device usage data 610. The user status data 720 is the same as the user status data 720 of FIG.

As shown, the utilization score module 340 calculates the utilization score data 810 using the device usage data 610 and the user status data 720. The component score for each element is shown in parentheses below the corresponding data below, on a common 0-100 scale. Therefore, the device 502 uses 4G for its data connection, resulting in a connection element score of 40. Device 502 is located 0 meters from user 710, resulting in a distance factor of 100 between the device and the user of the account. The user's latest access to device 502 was 5 minutes ago, so the score is 95, and the average usage time of this device by the user is 100 minutes, so the score is 100. Module 340 uses a ruleset that simply averages the score components together, resulting in a utilization score of device 502 of 83.75. Utilization scores for devices 506 and 508 were calculated in the same way. Utilization scores for devices 504 and 510 were not calculated because these devices exceeded the threshold distance from user 710 and were unavailable. The exemplary data, corresponding utilization scores, and rules used to calculate the exemplary score are examples only and are not intended to suggest any particular required score or score calculation method. Please note.

Referring to FIG. 9, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The device connection module 350 is the same as the device connection module 350 in FIG. The device 502 is the same as the device 502 in FIG. The position 602 is the same as the position shown in FIG. The usage score data 810 is the same as the usage score data 810 of FIG.

Here, since the device 502 had the highest score in the utilization score data 810, the device connection module 350 generated the presentation 910, in which the device 502 to the user 710 to respond to the connection request. Presented.

Referring to FIG. 10, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The device connection module 350 is the same as the device connection module 350 in FIG. Devices 502 and 506 are the same as devices 502 and 506 in FIG.

Here, the device 502 is 0 meters away from the user 710 and the device 506 is 1 meter away from the user 710. Devices 502 and 506 and user 710 are all in position 1002. Therefore, the utilization score module 340 calculates the utilization score data 1010, and in the utilization score data 1010, the devices 502 and 506 have a utilization score within a predetermined threshold distance with respect to each other. Therefore, the device connection module 350 generates a presentation 1020, in which both the devices 502 and 506 are presented to the user 710 in order to respond to the connection request.

Referring to FIG. 11, this figure shows a continuation of an example of multi-device connection management according to an exemplary embodiment. The rule adjustment module 360 is the same as the rule adjustment module 360 of FIG. Devices 502 and 506 are the same as devices 502 and 506 in FIG.

Here, both devices 502 and 506 are presented. In user selection 1102, user 710 selects device 506. Therefore, the rule adjustment module 360 generates the rule adjustment 1110. This indicates that the device 506 should be selected to respond to future communication requests if the devices 502 and 506 have utilization scores that are within a predetermined threshold distance to each other.

Referring to FIG. 12, this figure shows a flow chart of an exemplary process of multi-device connection management according to an exemplary embodiment. Process 1200 may be implemented in application 300 of FIG.

At block 1202, the application associates a set of devices with an account. At block 1204, the application constitutes a ruleset used to determine the usage score of the device associated with the account. At block 1206, the application receives a connection request that establishes communication between the sending device and the device associated with the account. At block 1208, the application analyzes device usage data to determine usage scores for one or more devices in the set. At block 1210, the application determines if the plurality of device scores are within each other's thresholds. Otherwise (the "NO" path in block 1210), in block 1212, the application presents the device with the highest score for the connection, then in block 1214, the application sends the presented device to the sending device. Connect to, then exit the application. Otherwise (“YES” path in block 1210), in block 1216, the application presents multiple devices for connection, and in block 1218, the application uses the user's device preference to determine the user in usage score. Adjusting the preference factor, at block 1220, the application connects the selected device to the sending device. Then the application ends.

Here, with reference to FIG. 13, an exemplary cloud computing environment 50 is shown. As shown, the cloud computing environment 50 is a local computing device used by a cloud consumer, such as a portable information terminal (PDA) or cellular phone 54A, desktop computer 54B, laptop computer 54C or automotive computer system 54N. Alternatively, the cloud computing node 10 is provided with one or a plurality of cloud computing nodes 10 with which a combination thereof and the like can communicate. Nodes 10 may communicate with each other. Nodes may be physically or virtually grouped (not shown) in one or more networks such as private clouds, community clouds, public or hybrid clouds or combinations thereof as described above. This allows the cloud computing environment 50 to provide infrastructure as a service, platform as a service or software as a service, or a combination thereof, so that cloud consumers do not need to maintain resources on local computing devices. do. The types of computing devices 54A-N shown are for illustration purposes only, and the computing node 10 and cloud computing environment 50 use any type of network or network addressable connection (eg, using a web browser). It should be understood that it is possible to communicate with any type of computerized device through) or both.

Here, with reference to FIG. 14, a set of functional abstraction layers provided by the cloud computing environment 50 (FIG. 13) is shown. It should be understood in advance that the components, layers, and functions shown are intended for illustration purposes only, and the embodiments of the invention are not limited thereto. As shown, the following layers and corresponding functions are provided.

The hardware and software layer 60 includes hardware and software components. Examples of hardware components include mainframe 61, RISC (Minimum Instruction Set Computer) architecture-based server 62, server 63, blade server 64, storage device 65, and network and network component 66. In some embodiments, the software components are network application server software 67 and database software 68.

The virtualization layer 70 provides an abstraction layer, from which the virtual entities of the following examples are: virtual server 71, virtual storage 72, virtual network 73 including virtual private network, virtual application and operating system 74, and A virtual client 75 may be provided.

In one example, the management layer 80 may provide the functions described below. Resource provisioning 81 provides the dynamic procurement of computing resources and other resources used to perform tasks within a cloud computing environment. Measurement and pricing 82 provides cost tracking as resources are used within a cloud computing environment and billing or billing for consumption of these resources. In one example, these resources may include application software licenses. Security provides cloud consumer identity and protection for tasks as well as data and other resources. The user portal 83 provides consumers and system administrators with access to the cloud computing environment. Service level management 84 provides cloud computing resource allocation and management to meet the required service level. Service Level Agreements (SLA) Planning and Execution 85 provides pre-arrangements and procurement for cloud computing resources with anticipatory future requirements in accordance with SLA.

The workload layer 90 provides an example of functionality in which a cloud computing environment can be utilized. Non-limiting examples of workloads and features that can be provided from this layer are mapping and navigation 91, software development and lifecycle management 92, virtual class room education delivery 93, data analysis processing 94, transaction processing 95, and synthesis systems. Includes application selection based on fault generation software 96.

As such, computer implementation methods, systems or devices, and computer program products are provided in exemplary embodiments for multi-device connection management and other related features, functions, or operations. Where an embodiment or part thereof is described with respect to a type of device, computer mounting method, system, or device, the computer program product or portion thereof is an artifact suitable for and equivalent to that type of device. Fitted or configured for use.

When an embodiment is described as being implemented in an application, the provision of the application in a software as a service (Software as a Service) model is intended within the scope of the exemplary embodiment. In the SaaS model, running an application in a cloud infrastructure provides the user with the ability of the application to implement one embodiment. Users can use a variety of client devices to access applications through a web browser (eg, web-based email) or a thin client interface such as other lightweight client applications. Users do not manage or control the underlying cloud infrastructure, including storage for networks, servers, operating systems, or cloud infrastructure. In some cases, the user may not even manage or control the capabilities of the SaaS application. In some other cases, the SaaS implementation of the application may tolerate possible exceptions to the limited user-specific application configuration settings.

The present invention can be a system, method, device or computer program product or a combination thereof at any possible level of technical detail of integration. The computer program product may include a computer-readable storage medium (or a plurality of media) having computer-readable program instructions for causing the processor to perform aspects of the present invention.

The computer-readable storage medium can be a tangible device that can hold and store instructions for use by the instruction execution device. The computer-readable storage medium may be, for example, not limited to electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination described above. A non-inclusive list of more specific examples of computer-readable storage media is also portable computer disksets, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory). , Static Random Access Memory (SRAM), Portable Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD), Memory Stick, Floppy Disk, Punch Card with Instructions or Convex Structure in Groove, etc. It may include a target coding device and any suitable combination described above. The computer-readable storage medium used herein is a radio wave or other freely propagating electromagnetic wave, a waveguide or other transmitting medium (eg, an optical pulse transmitted through a fiber optical cable), or an electromagnetic wave or wiring. It shall not be interpreted as a temporary signal itself, such as an electrical signal transmitted through.

The computer-readable program instructions described herein are downloaded from a computer-readable storage medium to their respective computing / processing devices via networks such as the Internet, local area networks, wide area networks or wireless networks or combinations thereof. It can be obtained or downloaded to an external computer or external storage device. The network may include copper transmission cables, optical transmission fibers, wireless transmissions, routers, firewalls, switches, gateway computers, or edge servers or combinations thereof. A network adapter card or network interface on each computing / processing device receives computer-readable program instructions from the network and transfers computer-readable program instructions for storage on the computer-readable storage medium within each computing / processing device. ..

Computer-readable program instructions for performing the operations of the present invention include assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, and configuration data for integrated circuits. , Or of one or more programming languages, including object-oriented programming languages such as Smalltalk®, C ++, or the like, traditional procedural programming languages such as the "C" programming language or similar programming languages. It can be either source code or object code written in any combination. Computer-readable program instructions are used entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on the remote computer, or on the remote computer. Or it can be run entirely on the server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or wide area network (WAN), or the connection is (eg, an internet service provider). Can be done to an external computer (through the internet using). In some embodiments, an electronic circuit comprising, for example, a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA) is a state of computer readable program instructions to carry out aspects of the invention. Computer-readable program instructions can be executed by using information to personalize electronic circuits.

Aspects of the invention are described herein with reference to flow charts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the invention. It will be appreciated that each block of the flow chart and / or block diagram, and the combination of blocks in the flow chart and / or block diagram, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a computer processor or other programmable data processing device to give rise to a machine. Thereby, the instructions executed through the processor of a computer or other programmable data processing device form a means for implementing the function / operation specified in the flow chart and / or block diagram or both blocks or multiple blocks. .. In addition, these computer-readable program instructions are products including instructions in which a computer-readable storage medium having the stored instructions implements a function / operation mode specified in a block or a plurality of blocks of a flowchart and / or a block diagram. Can be stored in a computer-readable storage medium that can lead the computer, programmable data processing device, or other device or combination thereof to function in a particular manner.

Computer-readable program instructions may also be loaded into a computer, other programmable data processor or other device, causing a series of operating steps to be performed on the computer, other programmable device or other device, and implemented in a computer. Generate a process. Thereby, an instruction executed on a computer, other programmable device or other device implements a block of flowcharts and / or a block diagram or a function / operation specified within the block.

Flow charts and block diagrams in the drawings show the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction that is specified (which contains one or more executable instructions for implementing a logical function). In an alternative implementation of, the functions described in the blocks may occur out of the order shown in the figure, for example, two blocks shown in succession may actually be performed as one step. They can be executed simultaneously or substantially simultaneously in a manner that partially or wholly overlaps in time, or the blocks can be executed in reverse order depending on the associated function. And / or each block of the flow chart, and the combination of blocks in the block diagram and / or the flow chart, is a dedicated hardware-based unit that performs a specified function or action or a combination of dedicated hardware and computer instructions. Note that it can be implemented by the system.

Claims (20)

At the stage of receiving a connection request for an account, the account is associated with a set of devices, and the connection request establishes communication between the sending device and the device associated with the account. Including the receiving stage and
A step of determining the utilization score of the first device by analyzing the device usage data of the first device in the set of devices.
The stage of presenting the first device for a connection based on the utilization score of the first device, and
A computer mounting method comprising a step of connecting the transmitting device and the first device in response to the presentation. Further comprising associating the set of devices with the account.
The computer mounting method according to claim 1. Further comprising, for said account, a step of constructing a rule set used to determine said utilization score of said first device.
The computer mounting method according to claim 1 or 2. From the set of sensor data, the stage of positioning the user with respect to the position of the first device, and
Further provided with a step of adjusting the utilization score according to the positioning.
The computer mounting method according to any one of claims 1 to 3. By analyzing the device usage data of the second device and the third device in the set of devices, the second utilization score of the second device and the third utilization score of the third device are determined. Stages and
A step of presenting the second device and the third device for selection based on the second utilization score and the third utilization score.
A step of connecting the transmitting device and the second device in response to the selection of the second device is further provided.
The computer mounting method according to any one of claims 1 to 4. The step of adjusting the user preference factor in response to the selection of the second device,
At the stage of receiving the second connection request for the account,
An updated second device of the second device using the adjusted user preference element, the second device usage data of the second device and the third device usage data of the third device. The stage of determining the usage score and the updated third usage score of the third device, and
Further comprising the step of presenting the second device for a connection based on the updated second utilization score and the updated third utilization score.
The computer mounting method according to claim 5. A computer program for managing multi-device connections,
To the processor
A procedure for receiving a connection request for an account in which the account is associated with a set of devices and the connection request establishes communication between the sending device and the device associated with the account. Including procedures and
A procedure for determining the utilization score of the first device by analyzing the device usage data of the first device in the set of devices.
A procedure for presenting the first device for a connection based on the utilization score of the first device.
A computer program for performing a procedure for connecting the transmitting device and the first device in response to the presentation. To the processor
Further perform the procedure of associating the set of devices with the account.
The computer program according to claim 7. To the processor
Further performing the procedure for the account to configure a rule set used to determine the utilization score of the first device.
The computer program according to claim 7 or 8. To the processor
From the set of sensor data, the procedure for positioning the user with respect to the position of the first device, and
The procedure for adjusting the utilization score according to the positioning is further executed.
The computer program according to any one of claims 7 to 9. To the processor
By analyzing the device usage data of the second device and the third device in the set of devices, the second utilization score of the second device and the third utilization score of the third device are determined. Procedure and
A procedure for presenting the second device and the third device for selection based on the second utilization score and the third utilization score.
Further performing the procedure of connecting the transmitting device and the second device in response to the selection of the second device.
The computer program according to any one of claims 7 to 10. To the processor
A procedure for adjusting a user preference factor in response to the selection of the second device,
The procedure for receiving a second connection request for the account and
An updated second device of the second device using the adjusted user preference element, the second device usage data of the second device and the third device usage data of the third device. The procedure for determining the usage score and the updated third usage score of the third device, and
Further performing the procedure of presenting the second device for a connection based on the updated second utilization score and the updated third utilization score.
The computer program according to claim 11. Claims 7-12, wherein the computer program is stored in at least one of one or more computer-readable storage media of a local data processing system, and the computer program is transferred from a remote data processing system over a network. The computer program described in any one of the above. The computer program is stored in at least one of one or more computer readable storage media of the server data processing system and the computer program is for use in a computer readable storage device associated with a remote data processing system. The computer program according to any one of claims 7 to 13, which is downloaded to the remote data processing system through a network. The computer program according to any one of claims 7 to 14, wherein the computer program is provided as a service in a cloud environment. One or more processors, one or more computer-readable memory, one or more computer-readable storage devices, and one or more of said one or more through at least one of said one or more of said memory. A computer system comprising program instructions stored in at least one of the one or more storage devices for execution by at least one of the processors of the computer.
The stored program instruction is
A program instruction that receives a connection request for an account, the account being associated with a set of devices, and the connection request establishing communication between the sending device and the device associated with the account. Program instructions, including requests,
A program instruction for determining the usage score of the first device by analyzing the device usage data of the first device in the set of devices.
A program instruction that presents the first device for a connection based on the utilization score of the first device.
A computer system comprising a program instruction connecting the transmitting device and the first device in response to the presentation. Further provided with program instructions to associate the set of devices with the account.
The computer system according to claim 16. The account is further provided with program instructions that make up the rule set used to determine the utilization score of the first device.
The computer system according to claim 16 or 17. From the set of sensor data, a program instruction that positions the user with respect to the position of the first device, and
Further provided with a program instruction for adjusting the utilization score according to the positioning.
The computer system according to any one of claims 16 to 18. By analyzing the device usage data of the second device and the third device in the set of devices, the second utilization score of the second device and the third utilization score of the third device are determined. Program instructions and
A program instruction that presents the second device and the third device for selection based on the second utilization score and the third utilization score.
Further comprising a program instruction for connecting the transmitting device and the second device in response to the selection of the second device.
The computer system according to any one of claims 16 to 19.

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